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Cited by 264

The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.

Abundance-occupancy distributions to prioritize plant core microbiome membership

Open access
Shade, Ashley, Stopnisek, Nejc·2019·Current Opinion in Microbiology

Abstract

Core microbiome members are consistent features of a dataset that are hypothesized to reflect underlying functional relationships with the host. A review of the recent plant-microbiome literature reveals a variety of study-specific approaches used to define the core, which presents a challenge to building a general plant-microbiome framework. Abundance-occupancy distributions, used in macroecology to describe changes in community diversity over space, offer an ecological approach for prioritizing core membership for both spatial and temporal studies. Additionally, neutral models fit to the abundance-occupancy distributions can provide insights into deterministically selected core members. We provide examples and code to systematically explore a core plant microbiome from abundance-occupancy distributions. Though we focus on examples from and discussions relevant to the plant microbiome, the abundance-occupancy method can be widely and generally applied to prioritize core membership for any microbiome.

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Metadata

Authors
Shade, A., & Stopnisek, N.
Venue
Current Opinion in Microbiology
Publisher
Elsevier BV
Published
2019-06
Volume
49
Pages
50-58
ISSN
1369-5274 (ISSN-L)
OpenAlex
W2987837450
Cited by
264
References
56
FWCI
2.97
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Abundance-occupancy distributions to prioritize plant core microbiome membership. https://app.cochat.ai/papers/10.1016/j.mib.2019.09.008
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Shade, A., & Stopnisek, N. (2019). Abundance-occupancy distributions to prioritize plant core microbiome membership. Current Opinion in Microbiology. https://doi.org/10.1016/j.mib.2019.09.008

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.